arnaucube
arnaucube/hyperplonkPublic Self-hosted repository
hyperplonk/subroutines/src/poly_iop/sum_check/verifier.rs
subroutines/src/poly_iop/sum_check/verifier.rsRaw
  1//! Verifier subroutines for a SumCheck protocol.
  2
  3use super::{SumCheckSubClaim, SumCheckVerifier};
  4use crate::poly_iop::{
  5    errors::PolyIOPErrors,
  6    structs::{IOPProverMessage, IOPVerifierState},
  7};
  8use arithmetic::VPAuxInfo;
  9use ark_ff::PrimeField;
 10use ark_std::{end_timer, start_timer};
 11use transcript::IOPTranscript;
 12
 13#[cfg(feature = "parallel")]
 14use rayon::iter::{IndexedParallelIterator, IntoParallelIterator, ParallelIterator};
 15
 16impl<F: PrimeField> SumCheckVerifier<F> for IOPVerifierState<F> {
 17    type VPAuxInfo = VPAuxInfo<F>;
 18    type ProverMessage = IOPProverMessage<F>;
 19    type Challenge = F;
 20    type Transcript = IOPTranscript<F>;
 21    type SumCheckSubClaim = SumCheckSubClaim<F>;
 22
 23    /// Initialize the verifier's state.
 24    fn verifier_init(index_info: &Self::VPAuxInfo) -> Self {
 25        let start = start_timer!(|| "sum check verifier init");
 26        let res = Self {
 27            round: 1,
 28            num_vars: index_info.num_variables,
 29            max_degree: index_info.max_degree,
 30            finished: false,
 31            polynomials_received: Vec::with_capacity(index_info.num_variables),
 32            challenges: Vec::with_capacity(index_info.num_variables),
 33        };
 34        end_timer!(start);
 35        res
 36    }
 37
 38    /// Run verifier for the current round, given a prover message.
 39    ///
 40    /// Note that `verify_round_and_update_state` only samples and stores
 41    /// challenges; and update the verifier's state accordingly. The actual
 42    /// verifications are deferred (in batch) to `check_and_generate_subclaim`
 43    /// at the last step.
 44    fn verify_round_and_update_state(
 45        &mut self,
 46        prover_msg: &Self::ProverMessage,
 47        transcript: &mut Self::Transcript,
 48    ) -> Result<Self::Challenge, PolyIOPErrors> {
 49        let start =
 50            start_timer!(|| format!("sum check verify {}-th round and update state", self.round));
 51
 52        if self.finished {
 53            return Err(PolyIOPErrors::InvalidVerifier(
 54                "Incorrect verifier state: Verifier is already finished.".to_string(),
 55            ));
 56        }
 57
 58        // In an interactive protocol, the verifier should
 59        //
 60        // 1. check if the received 'P(0) + P(1) = expected`.
 61        // 2. set `expected` to P(r)`
 62        //
 63        // When we turn the protocol to a non-interactive one, it is sufficient to defer
 64        // such checks to `check_and_generate_subclaim` after the last round.
 65
 66        let challenge = transcript.get_and_append_challenge(b"Internal round")?;
 67        self.challenges.push(challenge);
 68        self.polynomials_received
 69            .push(prover_msg.evaluations.to_vec());
 70
 71        if self.round == self.num_vars {
 72            // accept and close
 73            self.finished = true;
 74        } else {
 75            // proceed to the next round
 76            self.round += 1;
 77        }
 78
 79        end_timer!(start);
 80        Ok(challenge)
 81    }
 82
 83    /// This function verifies the deferred checks in the interactive version of
 84    /// the protocol; and generate the subclaim. Returns an error if the
 85    /// proof failed to verify.
 86    ///
 87    /// If the asserted sum is correct, then the multilinear polynomial
 88    /// evaluated at `subclaim.point` will be `subclaim.expected_evaluation`.
 89    /// Otherwise, it is highly unlikely that those two will be equal.
 90    /// Larger field size guarantees smaller soundness error.
 91    fn check_and_generate_subclaim(
 92        &self,
 93        asserted_sum: &F,
 94    ) -> Result<Self::SumCheckSubClaim, PolyIOPErrors> {
 95        let start = start_timer!(|| "sum check check and generate subclaim");
 96        if !self.finished {
 97            return Err(PolyIOPErrors::InvalidVerifier(
 98                "Incorrect verifier state: Verifier has not finished.".to_string(),
 99            ));
100        }
101
102        if self.polynomials_received.len() != self.num_vars {
103            return Err(PolyIOPErrors::InvalidVerifier(
104                "insufficient rounds".to_string(),
105            ));
106        }
107
108        // the deferred check during the interactive phase:
109        // 2. set `expected` to P(r)`
110        #[cfg(feature = "parallel")]
111        let mut expected_vec = self
112            .polynomials_received
113            .clone()
114            .into_par_iter()
115            .zip(self.challenges.clone().into_par_iter())
116            .map(|(evaluations, challenge)| {
117                if evaluations.len() != self.max_degree + 1 {
118                    return Err(PolyIOPErrors::InvalidVerifier(format!(
119                        "incorrect number of evaluations: {} vs {}",
120                        evaluations.len(),
121                        self.max_degree + 1
122                    )));
123                }
124                interpolate_uni_poly::<F>(&evaluations, challenge)
125            })
126            .collect::<Result<Vec<_>, PolyIOPErrors>>()?;
127
128        #[cfg(not(feature = "parallel"))]
129        let mut expected_vec = self
130            .polynomials_received
131            .clone()
132            .into_iter()
133            .zip(self.challenges.clone().into_iter())
134            .map(|(evaluations, challenge)| {
135                if evaluations.len() != self.max_degree + 1 {
136                    return Err(PolyIOPErrors::InvalidVerifier(format!(
137                        "incorrect number of evaluations: {} vs {}",
138                        evaluations.len(),
139                        self.max_degree + 1
140                    )));
141                }
142                interpolate_uni_poly::<F>(&evaluations, challenge)
143            })
144            .collect::<Result<Vec<_>, PolyIOPErrors>>()?;
145
146        // insert the asserted_sum to the first position of the expected vector
147        expected_vec.insert(0, *asserted_sum);
148
149        for (evaluations, &expected) in self
150            .polynomials_received
151            .iter()
152            .zip(expected_vec.iter())
153            .take(self.num_vars)
154        {
155            // the deferred check during the interactive phase:
156            // 1. check if the received 'P(0) + P(1) = expected`.
157            if evaluations[0] + evaluations[1] != expected {
158                return Err(PolyIOPErrors::InvalidProof(
159                    "Prover message is not consistent with the claim.".to_string(),
160                ));
161            }
162        }
163        end_timer!(start);
164        Ok(SumCheckSubClaim {
165            point: self.challenges.clone(),
166            // the last expected value (not checked within this function) will be included in the
167            // subclaim
168            expected_evaluation: expected_vec[self.num_vars],
169        })
170    }
171}
172
173/// Interpolate a uni-variate degree-`p_i.len()-1` polynomial and evaluate this
174/// polynomial at `eval_at`:
175///
176///   \sum_{i=0}^len p_i * (\prod_{j!=i} (eval_at - j)/(i-j) )
177///
178/// This implementation is linear in number of inputs in terms of field
179/// operations. It also has a quadratic term in primitive operations which is
180/// negligible compared to field operations.
181fn interpolate_uni_poly<F: PrimeField>(p_i: &[F], eval_at: F) -> Result<F, PolyIOPErrors> {
182    let start = start_timer!(|| "sum check interpolate uni poly opt");
183
184    let len = p_i.len();
185    let mut evals = vec![];
186    let mut prod = eval_at;
187    evals.push(eval_at);
188
189    // `prod = \prod_{j} (eval_at - j)`
190    for e in 1..len {
191        let tmp = eval_at - F::from(e as u64);
192        evals.push(tmp);
193        prod *= tmp;
194    }
195    let mut res = F::zero();
196    // we want to compute \prod (j!=i) (i-j) for a given i
197    //
198    // we start from the last step, which is
199    //  denom[len-1] = (len-1) * (len-2) *... * 2 * 1
200    // the step before that is
201    //  denom[len-2] = (len-2) * (len-3) * ... * 2 * 1 * -1
202    // and the step before that is
203    //  denom[len-3] = (len-3) * (len-4) * ... * 2 * 1 * -1 * -2
204    //
205    // i.e., for any i, the one before this will be derived from
206    //  denom[i-1] = denom[i] * (len-i) / i
207    //
208    // that is, we only need to store
209    // - the last denom for i = len-1, and
210    // - the ratio between current step and fhe last step, which is the product of
211    //   (len-i) / i from all previous steps and we store this product as a fraction
212    //   number to reduce field divisions.
213
214    // We know
215    //  - 2^61 < factorial(20) < 2^62
216    //  - 2^122 < factorial(33) < 2^123
217    // so we will be able to compute the ratio
218    //  - for len <= 20 with i64
219    //  - for len <= 33 with i128
220    //  - for len >  33 with BigInt
221    if p_i.len() <= 20 {
222        let last_denominator = F::from(u64_factorial(len - 1));
223        let mut ratio_numerator = 1i64;
224        let mut ratio_denominator = 1u64;
225
226        for i in (0..len).rev() {
227            let ratio_numerator_f = if ratio_numerator < 0 {
228                -F::from((-ratio_numerator) as u64)
229            } else {
230                F::from(ratio_numerator as u64)
231            };
232
233            res += p_i[i] * prod * F::from(ratio_denominator)
234                / (last_denominator * ratio_numerator_f * evals[i]);
235
236            // compute denom for the next step is current_denom * (len-i)/i
237            if i != 0 {
238                ratio_numerator *= -(len as i64 - i as i64);
239                ratio_denominator *= i as u64;
240            }
241        }
242    } else if p_i.len() <= 33 {
243        let last_denominator = F::from(u128_factorial(len - 1));
244        let mut ratio_numerator = 1i128;
245        let mut ratio_denominator = 1u128;
246
247        for i in (0..len).rev() {
248            let ratio_numerator_f = if ratio_numerator < 0 {
249                -F::from((-ratio_numerator) as u128)
250            } else {
251                F::from(ratio_numerator as u128)
252            };
253
254            res += p_i[i] * prod * F::from(ratio_denominator)
255                / (last_denominator * ratio_numerator_f * evals[i]);
256
257            // compute denom for the next step is current_denom * (len-i)/i
258            if i != 0 {
259                ratio_numerator *= -(len as i128 - i as i128);
260                ratio_denominator *= i as u128;
261            }
262        }
263    } else {
264        let mut denom_up = field_factorial::<F>(len - 1);
265        let mut denom_down = F::one();
266
267        for i in (0..len).rev() {
268            res += p_i[i] * prod * denom_down / (denom_up * evals[i]);
269
270            // compute denom for the next step is current_denom * (len-i)/i
271            if i != 0 {
272                denom_up *= -F::from((len - i) as u64);
273                denom_down *= F::from(i as u64);
274            }
275        }
276    }
277    end_timer!(start);
278    Ok(res)
279}
280
281/// compute the factorial(a) = 1 * 2 * ... * a
282#[inline]
283fn field_factorial<F: PrimeField>(a: usize) -> F {
284    let mut res = F::one();
285    for i in 2..=a {
286        res *= F::from(i as u64);
287    }
288    res
289}
290
291/// compute the factorial(a) = 1 * 2 * ... * a
292#[inline]
293fn u128_factorial(a: usize) -> u128 {
294    let mut res = 1u128;
295    for i in 2..=a {
296        res *= i as u128;
297    }
298    res
299}
300
301/// compute the factorial(a) = 1 * 2 * ... * a
302#[inline]
303fn u64_factorial(a: usize) -> u64 {
304    let mut res = 1u64;
305    for i in 2..=a {
306        res *= i as u64;
307    }
308    res
309}
310
311#[cfg(test)]
312mod test {
313    use super::interpolate_uni_poly;
314    use crate::poly_iop::errors::PolyIOPErrors;
315    use ark_bls12_381::Fr;
316    use ark_poly::{univariate::DensePolynomial, Polynomial, UVPolynomial};
317    use ark_std::{vec::Vec, UniformRand};
318
319    #[test]
320    fn test_interpolation() -> Result<(), PolyIOPErrors> {
321        let mut prng = ark_std::test_rng();
322
323        // test a polynomial with 20 known points, i.e., with degree 19
324        let poly = DensePolynomial::<Fr>::rand(20 - 1, &mut prng);
325        let evals = (0..20)
326            .map(|i| poly.evaluate(&Fr::from(i)))
327            .collect::<Vec<Fr>>();
328        let query = Fr::rand(&mut prng);
329
330        assert_eq!(poly.evaluate(&query), interpolate_uni_poly(&evals, query)?);
331
332        // test a polynomial with 33 known points, i.e., with degree 32
333        let poly = DensePolynomial::<Fr>::rand(33 - 1, &mut prng);
334        let evals = (0..33)
335            .map(|i| poly.evaluate(&Fr::from(i)))
336            .collect::<Vec<Fr>>();
337        let query = Fr::rand(&mut prng);
338
339        assert_eq!(poly.evaluate(&query), interpolate_uni_poly(&evals, query)?);
340
341        // test a polynomial with 64 known points, i.e., with degree 63
342        let poly = DensePolynomial::<Fr>::rand(64 - 1, &mut prng);
343        let evals = (0..64)
344            .map(|i| poly.evaluate(&Fr::from(i)))
345            .collect::<Vec<Fr>>();
346        let query = Fr::rand(&mut prng);
347
348        assert_eq!(poly.evaluate(&query), interpolate_uni_poly(&evals, query)?);
349
350        Ok(())
351    }
352}